首页|Findings from Federal University Mato Grosso do Sul Yields New Findings on Machine Learning (Machine Learning Models for Dry Matter and Biomass Estimates On Cattle Grazing Systems)
Findings from Federal University Mato Grosso do Sul Yields New Findings on Machine Learning (Machine Learning Models for Dry Matter and Biomass Estimates On Cattle Grazing Systems)
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Researchers detail new data in Machine Learning. According to news reporting fromCampo Grande, Brazil, by NewsRx journalists, research stated, “Monitoring pasture conditions contributes to the animals’ decision-making process, avoiding supplementation losses, and improving cattle performance. Environmental parameters and herd characteristics can influence pasture quantity (biomass and dry matter) and controlling these parameters is a challenge nowadays.” Funders for this research include Fundacao de Apoio ao Desenvolvimento do Ensino Ciencia e Tecnologia do Estado de Mato Grosso do Sul (FUNDECT MS), Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ), UFMS, Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES), Ministry of Agriculture, Livestock and Food Supply (MAPA).
Campo GrandeBrazilSouth AmericaCyborgsEmerging TechnologiesMachine LearningFederal University Mato Grosso do Sul
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Elsevier
